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$35 USD / hour
Flag of PKFlag of PK
islamabad,
pakistan
$35 USD / hour
It's currently 10:08 AM here
Joined October 28, 2015
3 Recommendations

Muhammad Asad I.

@nycer847

annual-level-three.svg
4.6 (23 reviews)
4.6 (23 reviews)
5.8
5.8
$35 USD / hour
Flag of PKFlag of PK
islamabad,
pakistan
$35 USD / hour
93%
Jobs Completed
89%
On Budget
85%
On Time
15%
Repeat Hire Rate

Engineer | Simulations Guru | Writer | ML Expert

My name is Muhammad Asad Iqbal and I am a PhD Electrical Engineer with 8 years of research and development skills. I have a team of professionals and we offer our services related to simulation and writing in the field of electrical engineering. Also we have an experts in Machine learning field. I am currently teaching in one of the prestigious universities of Pakistan by the name NUST ( ranked 1st). I have written several research papers which are published in internationals journals ( ask for papers). For research writing you can count on me. I am working as an Academic writer for all fields, especially in the Engineering field for last 8 years (ask for work samples). ------------------------------------------------------------------------------------------------------------------------------------ Our services include: • Research Papers • Academic Papers • Dissertation and Thesis • Research and Business Proposals • Presentations and Speeches • Proofreading and Editing Thanks
Freelancer
Matlab and Mathematica Engineers
Pakistan

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Portfolio Items

In cryptography, chaotic cryptosystem is one of the methods to carry out encryption and decryption of images. This work introduces a new symmetric key encryption technique based on chaotic map, scan method and cyclic shift operation. The confusion and diffusion techniques are implemented using Hilbert curve and Henon map. To ensure image scrambling, both pixel level and bit level permutations are performed. A novel method is adopted for bit level permutation using cyclic shift operation.
The key streams for cyclic shift and diffusion operations are generated from the Henon map. Final encrypted image is generated from the double scrambled image. The performance of the proposed method has been analyzed using various analyses like statistical analysis, entropy analysis, differential attack analysis, key sensitivity analysis and known plain text attack analysis. Experimental results show that the proposed image encryption technique resists various attacks and ensures high security.
It also
A novel image encryption scheme
Watermark Algorithm for Copyright Protection by Using DWT and SVD and encryption for tow logs (color)
Watermark Algorithm for Copyright Protection
one time pad along with DCT and AES
Image Encryption and Decryption Using AES and DWT
This project presents a gray level image encryption method based on permutation operation and diffusion operation on image pixels. In diffusion operation, the image is subdivided into equal size sub-images, and the pixels of each sub-image are changed with the help of logical operators and circular shifts. In the permutation operation, the image is first divided into four bit-plate images, and the pixels of each bit-plate image are permuted in parallel by chaotic maps. In this research, reversible two-dimensional and three-dimensional chaotic maps based on modular mathematics are proposed to increase the key space, improve speed and period. The key space exponentially is increased as compared to standard chaotic maps through defining the reversibility in residue matrices, chaotic map in 3D space and changing the key in each round.
Designing image encryption using 2D and 3D chaotic maps
Fraud detection is an important application of machine learning in the financial services sector.
The objective of this project is to create a machine learning model to detect fraudulent transactions.
• Supervised Machine Learning:
– Data from the past with known fraud and non-fraud cases (label);
– Machine Learning of Classification models or Association rules to find
fraud patterns from the past and to automatically identify new instances
of these fraud types in new data;
– Applicable to known fraud cases, patterns, and types.
• Unsupervised Machine Learning:
– Clustering (Segmentation): Grouping entities into clusters of similar
entities (patients, doctors, service providers, etc.);
– Anomaly Detection / Outlier Detection: detect unusual behaviors;
– Both depend on selected attributes, normalization and/or weighting;
– Attribute Weighting can be used to incorporate domain knowledge and/or
priorities;
– Allows to find previously unknown types of fraud.
Anomaly | Fraud Detection
Simulation and Paper Publication
Intelligent Voltage Regulator

Reviews

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Showing 1 - 5 out of 23 reviews
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5.0
$770.00 USD
Excellant work
Research
Technical Writing
Report Writing
Article Writing
Research Writing
W
Flag of IQ Haidar S. @Warrior111
6 months ago
4.8
$500.00 USD
thanks for your kind support
Matlab and Mathematica
Algorithm
Imaging
User Avatar
Flag of TR Ammar H. @ammarwa
7 months ago
5.0
$200.00 USD
Perfect gentlemen very reliable respond to message in a short amount of time. manage to complete a professional project price is a bit high but worth the quality
Engineering
Matlab and Mathematica
Algorithm
Electrical Engineering
Mathematics
N
Flag of GB Joel B. @nininias
8 months ago
5.0
$550.00 USD
Very good freelance will work with him again
Engineering
Matlab and Mathematica
Report Writing
Electrical Engineering
Mathematics
+1 more
W
Flag of IQ Haidar S. @Warrior111
8 months ago
5.0
$20.00 USD
Asad helped me in correction of my paper and then my paper get accepted. Really a talented guy, hope to work with him again. Highly recommended
Research
Technical Writing
Report Writing
Article Writing
Research Writing
Z
Flag of US Kathleen M. @zengoo
9 months ago

Experience

Senior Content Writer

Elixir Technologies
Feb 2018 - Present
Content Writer

Lecturer

National University of Sciences and Technology (NUST)
Feb 2018 - Present
lecturer

Education

PhD in Electrical Engineering (Specialization in Control Systems )

National University of Science and Technology, Pakistan 2017 - 2021
(4 years)

MS Electrical Engineering

COMSATS Institute of Information Technology, Pakistan 2015 - 2017
(2 years)

BS Electronics

COMSATS Institute of Information Technology, Pakistan 2011 - 2015
(4 years)

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Top Skills

Matlab and Mathematica
16
Electrical Engineering
15
Mathematics
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Engineering
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Report Writing
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